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Lina Gong
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2020 – today
- 2024
- [j25]Rongcun Wang, Senlei Xu, Xingyu Ji, Yuan Tian, Lina Gong, Ke Wang:
An extensive study of the effects of different deep learning models on code vulnerability detection in Python code. Autom. Softw. Eng. 31(1): 15 (2024) - [j24]Baicai Sun
, Lina Gong
Basis path coverage testing of MPI programs based on multi-task evolutionary optimization. Expert Syst. Appl. 255: 124557 (2024) - [j23]Yaxin Zhao, Lina Gong, Wenhua Yang, Yu Zhou:
How accessibility affects other quality attributes of software? A case study of GitHub. Sci. Comput. Program. 231: 103027 (2024) - [j22]Lina Gong
MR${}^{2}$ 2-KG: A Multi-Relation Multi-Rationale Knowledge Graph for Modeling Software Engineering Knowledge on Stack Overflow. IEEE Trans. Software Eng. 50(7): 1867-1887 (2024) - [j21]Lipeng Gu
PointSee: Image Enhances Point Cloud. IEEE Trans. Vis. Comput. Graph. 30(9): 6291-6308 (2024) - [c7]Tianyue Sun, Lina Gong, Jingxuan Zhang, Mingqiang Wei:
An Empirical Study on the Characteristics of Connected Knowledge Subgraphs on Stack Overflow. QRS Companion 2024: 64-73 - [i11]Yu Zhao, Lina Gong, Zhiqiu Huang, Yongwei Wang, Mingqiang Wei, Fei Wu:
Coding-PTMs: How to Find Optimal Code Pre-trained Models for Code Embedding in Vulnerability Detection? CoRR abs/2408.04863 (2024) - [i10]Lina Gong, Qi Gao, Peng Li, Mingqiang Wei, Fei Wu:
Efficient Deep Learning Board: Training Feedback Is Not All You Need. CoRR abs/2410.14743 (2024) - [i9]Yu Qiao, Lina Gong, Yu Zhao, Yongwei Wang, Mingqiang Wei:
DeMuVGN: Effective Software Defect Prediction Model by Learning Multi-view Software Dependency via Graph Neural Networks. CoRR abs/2410.19550 (2024) - 2023
- [j20]Jinpeng Lan, Lina Gong
BTLink : automatic link recovery between issues and commits based on pre-trained BERT model. Empir. Softw. Eng. 28(4): 103 (2023) - [j19]Fuyang Li
The impact of feature selection techniques on effort-aware defect prediction: An empirical study. IET Softw. 17(2): 168-193 (2023) - [j18]Yiyang Shen
ImLiDAR: Cross-Sensor Dynamic Message Propagation Network for 3-D Object Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j17]Lina Gong
What Is the Intended Usage Context of This Model? An Exploratory Study of Pre-Trained Models on Various Model Repositories. ACM Trans. Softw. Eng. Methodol. 32(3): 69:1-69:57 (2023) - [j16]Jingxuan Zhang
An Accurate Identifier Renaming Prediction and Suggestion Approach. ACM Trans. Softw. Eng. Methodol. 32(6): 148:1-148:51 (2023) - [j15]Lina Gong
A Comprehensive Investigation of the Impact of Class Overlap on Software Defect Prediction. IEEE Trans. Software Eng. 49(4): 2440-2458 (2023) - [j14]Jingxuan Zhang
BEQAIN: An Effective and Efficient Identifier Normalization Approach With BERT and the Question Answering System. IEEE Trans. Software Eng. 49(4): 2597-2620 (2023) - [c6]Yuwen Chen, Xuefeng Yan, Peng Cui, Lina Gong:
SEGCN: Structural Enhancement Graph Clustering Network. APWeb-WAIM (1) 2023: 174-190 - [c5]Qi Hang, Xuefeng Yan, Lina Gong:
MFF-Trans: Multi-level Feature Fusion Transformer for Fine-Grained Visual Classification. APWeb/WAIM (3) 2023: 220-234 - [c4]Zhangying Weng, Peng Li, Xin Zhuang, Xuefeng Yan, Lina Gong, Haoran Xie, Mingqiang Wei:
ifUNet++: Iterative Feedback UNet++ for Infrared Small Target Detection. ICASSP 2023: 1-5 - [i8]Yongzhen Wang, Xuefeng Yan, Yanbiao Niu, Lina Gong, Yanwen Guo, Mingqiang Wei:
Joint Depth Estimation and Mixture of Rain Removal From a Single Image. CoRR abs/2303.17766 (2023) - [i7]Yu Zhao, Lina Gong, Haoxiang Zhang, Yaoshen Yu, Zhiqiu Huang:
How to get better embeddings with code pre-trained models? An empirical study. CoRR abs/2311.08066 (2023) - 2022
- [j13]Zhilei Chen
UTOPIC: Uncertainty-aware Overlap Prediction Network for Partial Point Cloud Registration. Comput. Graph. Forum 41(7): 87-98 (2022) - [j12]Jie Wang
Contrastive Semantic-Guided Image Smoothing Network. Comput. Graph. Forum 41(7): 335-346 (2022) - [j11]Yongzhen Wang
TogetherNet: Bridging Image Restoration and Object Detection Together via Dynamic Enhancement Learning. Comput. Graph. Forum 41(7): 465-476 (2022) - [j10]Xuejun Li, Lina Gong, Xiao Liu
Solving the last mile problem in logistics: A mobile edge computing and blockchain-based unmanned aerial vehicle delivery system. Concurr. Comput. Pract. Exp. 34(7) (2022) - [j9]Yongzhen Wang
Detecting Occluded and Dense Trees in Urban Terrestrial Views With a High-Quality Tree Detection Dataset. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [j8]Lina Gong
Revisiting the Impact of Dependency Network Metrics on Software Defect Prediction. IEEE Trans. Software Eng. 48(12): 5030-5049 (2022) - [i6]Lina Gong, Gopi Krishnan Rajbahadur, Ahmed E. Hassan, Shujuan Jiang:
Revisiting the Impact of Dependency Network Metrics on Software Defect Prediction. CoRR abs/2202.06145 (2022) - [i5]Zhilei Chen, Honghua Chen, Lina Gong, Xuefeng Yan, Jun Wang, Yanwen Guo, Jing Qin, Mingqiang Wei:
UTOPIC: Uncertainty-aware Overlap Prediction Network for Partial Point Cloud Registration. CoRR abs/2208.02712 (2022) - [i4]Jie Wang, Yongzhen Wang
Contrastive Semantic-Guided Image Smoothing Network. CoRR abs/2209.00977 (2022) - [i3]Yongzhen Wang
TogetherNet: Bridging Image Restoration and Object Detection Together via Dynamic Enhancement Learning. CoRR abs/2209.01373 (2022) - [i2]Lipeng Gu, Xuefeng Yan, Peng Cui, Lina Gong, Haoran Xie, Fu Lee Wang, Jin Qin, Mingqiang Wei:
PointSee: Image Enhances Point Cloud. CoRR abs/2211.01664 (2022) - [i1]Yiyang Shen, Rongwei Yu, Peng Wu, Haoran Xie, Lina Gong, Jing Qin, Mingqiang Wei:
ImLiDAR: Cross-Sensor Dynamic Message Propagation Network for 3D Object Detection. CoRR abs/2211.09518 (2022) - 2020
- [j7]Li Jiang
Which Process Metrics Are Significantly Important to Change of Defects in Evolving Projects: An Empirical Study. IEEE Access 8: 93705-93722 (2020) - [j6]Lina Gong
Conditional Domain Adversarial Adaptation for Heterogeneous Defect Prediction. IEEE Access 8: 150738-150749 (2020) - [j5]Lina Gong
A Novel Class-Imbalance Learning Approach for Both Within-Project and Cross-Project Defect Prediction. IEEE Trans. Reliab. 69(1): 40-54 (2020)
2010 – 2019
- 2019
- [j4]Lina Gong
Tackling Class Imbalance Problem in Software Defect Prediction Through Cluster-Based Over-Sampling With Filtering. IEEE Access 7: 145725-145737 (2019) - [j3]Lina Gong, Shujuan Jiang, Qiao Yu, Li Jiang:
Unsupervised Deep Domain Adaptation for Heterogeneous Defect Prediction. IEICE Trans. Inf. Syst. 102-D(3): 537-549 (2019) - [j2]Lina Gong
An improved transfer adaptive boosting approach for mixed-project defect prediction. J. Softw. Evol. Process. 31(10) (2019) - [c3]Jia Xu
Mobility-Aware Workflow Offloading and Scheduling Strategy for Mobile Edge Computing. ICA3PP (2) 2019: 184-199 - [c2]Lina Gong, Shujuan Jiang, Rongcun Wang, Li Jiang:
Empirical Evaluation of the Impact of Class Overlap on Software Defect Prediction. ASE 2019: 698-709 - [c1]Xiao Liu
FogWorkflowSim: An Automated Simulation Toolkit for Workflow Performance Evaluation in Fog Computing. ASE 2019: 1114-1117 - 2011
- [j1]Kewen Li, Jisong Kou, Lina Gong:
Predicting Software Quality by Optimized BP Network Based on PSO. J. Comput. 6(1): 122-129 (2011)
Coauthor Index
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last updated on 2024-12-03 20:24 CET by the dblp team
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